2 citations · 2 across the 4 of their papers we have counts for
Showing cs.ROShow all
2 papers · 1 filter
cs.RO2021
A Closed-Loop Linear Covariance Framework for Vehicle Path Planning in a Static Uncertain Obstacle Fiel
Randall Christensen, Greg Droge, Robert Leishman
Path planning in an uncertain environment is a key enabler of true vehicle autonomy. Over the past two decades, numerous approaches have been developed to account for errors in the…
cs.RO2019
Enabling Robust State Estimation through Measurement Error Covariance Adaptation
Ryan M. Watson, Jason N. Gross, Clark N. Taylor +1
Accurate platform localization is an integral component of most robotic systems. As these robotic systems become more ubiquitous, it is necessary to develop robust state estimation…